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Scaled experimental study of a ventilation system featuring partition jet and pit exhaust 分区喷气和坑式排气通风系统的比例实验研究
IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING Pub Date : 2024-11-02 DOI: 10.1016/j.biosystemseng.2024.10.010
Qizhi Yang , Xi Bai , Guoqiang Zhang , Li Rong , Yao Tao , Jiyuan Tu , Jinyong Wang , Zhiru Hu , Jie Chai , Yong Wang
In the context of current intensive livestock farming development, we present a novel energy-efficient ventilation method, named as the partition jet and pit exhaust (PJPE) system, for multi-story pig facilities. The objective is to overcome the limitations of traditional ventilation methods, e.g., mixing ventilation sidewall air supply or tunnel ventilation, in managing heat stress and air quality. Isothermal and non-isothermal experiments were conducted in a 1:2.5 scaled pig pen model to study the airflow distribution characteristics and ventilation effectiveness of the PJPE system. The results demonstrate that the PJPE system enables rapid delivery of fresh air to the animal-occupied zone (AOZ). With the Archimedes numbers (Ar) of supply air ranging between 0.0025 and 0.0052, the jet maintains low air temperatures near the pig's back. Compared to traditional pig house ventilation methods, the PJPE demonstrates better heat removal efficiency (HRE), with an average HRE of 1.20. Additionally, the PJPE effectively inhibits the upward diffusion of ammonia from the slurry pit. These findings indicate that the PJPE system presents a viable, energy-efficient alternative for environmental control in high-density pig housing, highlighting its potential for advancing animal welfare and productivity in intensive livestock farming.
在当前集约化畜牧业发展的背景下,我们为多层养猪设施提出了一种新型节能通风方法,即分区喷气和坑式排气(PJPE)系统。其目的是克服传统通风方法(如混合通风侧壁送风或隧道通风)在管理热应力和空气质量方面的局限性。为研究 PJPE 系统的气流分布特性和通风效果,在 1:2.5 比例的猪栏模型中进行了等温和非等温实验。结果表明,PJPE 系统能快速向动物占用区(AOZ)输送新鲜空气。由于送风的阿基米德数(Ar)介于 0.0025 和 0.0052 之间,喷气机能在猪背附近保持较低的空气温度。与传统的猪舍通风方法相比,PJPE 显示出更高的热去除效率(HRE),平均 HRE 为 1.20。此外,PJPE 还能有效抑制泥浆池中氨气的向上扩散。这些研究结果表明,PJPE 系统为高密度猪舍的环境控制提供了一种可行的节能替代方案,凸显了其在集约化畜牧业中提高动物福利和生产率的潜力。
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引用次数: 0
Simulation and experimental study on frictional wear of plough blades in soil cultivation process based on the Archard model 基于 Archard 模型的土壤耕作过程中犁刃摩擦磨损模拟与实验研究
IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING Pub Date : 2024-11-01 DOI: 10.1016/j.biosystemseng.2024.10.009
Peng Zhang , Xiongye Zhang , Xue Hu , Lixin Zhang , Xuebin Shi , Zhigang Li
Plough blades are widely used for land preparation tasks such as rotary tillage and trenching in small farmlands. This paper, using the finite element method, establishes a dynamic simulation model for plough blade cutting through soil. Utilising simulation and experimental data, the study inversely determined a constant value of K = 1.71 × 10−5 for the wear formula and developed an Archard wear mathematical model applicable to predicting plough blade wear during soil cutting. Subsequently, a Python script was developed for extracting data during the plough blade cutting process. The UMESHMOTION subroutine, combined with the ALE grid remeshing method, was then employed to simulate the wear morphology of the plough blade tip. A comprehensive numerical analysis of wear is conducted over time intervals of 2 h, 3.5 h, 5 h, and 6 h. The results indicated that the maximum wear occurred at the junction between the rear blade surface and the plough blade tip, with corresponding maximum wear amounts of 1.887 mm, 2.750 mm, 3.766 mm, and 4.359 mm. Comparison with actual wear conditions during the operation of a micro-tiller suggests that, within the same wear stage of the blade, the proposed wear numerical analysis method effectively simulated the wear amount during plough blade soil cutting. Furthermore, a comparison of wear amounts under different operational parameters showed that an increase in forward speed led to wear amount increments of 26.62 % and 35.23 %, while an increase in rotational speed resulted in wear amount increments of 17.77 % and 43.88 %. Both factors significantly impact plough blade wear.
犁刀广泛用于小型农田的旋耕和开沟等整地作业。本文采用有限元法建立了犁刀切割土壤的动态模拟模型。利用模拟和实验数据,该研究反向确定了磨损公式的常数 K = 1.71 × 10-5,并建立了适用于预测土壤切割过程中犁刃磨损的 Archard 磨损数学模型。随后,还开发了一个 Python 脚本,用于提取犁刀切割过程中的数据。然后采用 UMESHMOTION 子程序,结合 ALE 网格重网格法,模拟犁刀刀尖的磨损形态。结果表明,最大磨损发生在后刀面与犁刀尖的交界处,相应的最大磨损量分别为 1.887 毫米、2.750 毫米、3.766 毫米和 4.359 毫米。与微耕机工作时的实际磨损情况比较表明,在刀片的同一磨损阶段,所提出的磨损数值分析方法有效地模拟了犁刀切土过程中的磨损量。此外,对不同运行参数下的磨损量进行的比较表明,前进速度的增加导致磨损量分别增加 26.62 % 和 35.23 %,而旋转速度的增加导致磨损量分别增加 17.77 % 和 43.88 %。这两个因素都会对犁刀磨损产生重大影响。
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引用次数: 0
Harvest motion planning for mango picking robot based on improved RRT-Connect 基于改进型 RRT-Connect 的芒果采摘机器人收获运动规划
IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING Pub Date : 2024-10-29 DOI: 10.1016/j.biosystemseng.2024.10.008
Bin Zhang , Chenghai Yin , Yuxing Fu , Yuyang Xia , Wei Fu
Aiming at the problems of long motion path planning time and low picking efficiency of picking robots in unstructured orchard environments, a heuristic dynamic Rapidly-exploring Random Tree Connect motion planning algorithm (HDRRT-Connect) for picking robots for fast mango harvesting path planning was proposed in this study. The algorithm was obtained by introducing adaptive target gravitation strategy and heuristic dynamic step strategy based on RRT-Connect algorithm. It adjusts the step-size according to the information of the orchard environment as well as the path searching situation, so as to avoid falling into the local optimum of the path. The prototype based on the algorithm was used to carry out picking experiments in the natural orchard environment. The prototype picking test under the natural environment of the orchard is carried out, and the test results showed that the average path cost of the HDRRT-Connect algorithm was 95.7739, the average planning time was 0.448 s, and the success rate was 90%. Compared with the RRT, RRT-Connect and Probabilistic Roadmaps (PRM) algorithms, the HDRRT-Connect planning speed was improved by 95%, 24% and 59%, respectively, and the path cost was reduced by 35%, 13% and 18%, respectively. The results of the experiment verified the feasibility and efficiency of the improved algorithm. The HDRRT-Connect algorithm proposed in this study could effectively shorten the planning time, reduce the search path cost and improve the planning success rate. The research provides technical support for the fast-harvesting operation of mango picking robot.
针对采摘机器人在非结构化果园环境中运动路径规划时间长、采摘效率低的问题,本研究提出了一种启发式动态快速探索随机树连接运动规划算法(HDRRT-Connect),用于采摘机器人快速采摘芒果的路径规划。该算法在 RRT-Connect 算法的基础上引入了自适应目标重力策略和启发式动态步长策略。它根据果园环境信息和路径搜索情况调整步长,以避免陷入路径的局部最优。基于该算法的原型在自然果园环境中进行了采摘试验。进行了果园自然环境下的原型采摘试验,试验结果表明,HDRRT-Connect 算法的平均路径代价为 95.7739,平均规划时间为 0.448 s,成功率为 90%。与 RRT、RRT-Connect 和概率路线图(PRM)算法相比,HDRRT-Connect 规划速度分别提高了 95%、24% 和 59%,路径成本分别降低了 35%、13% 和 18%。实验结果验证了改进算法的可行性和高效性。本研究提出的 HDRRT-Connect 算法能有效缩短规划时间,降低搜索路径成本,提高规划成功率。该研究为芒果采摘机器人的快速采摘作业提供了技术支持。
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引用次数: 0
Enhancing hydraulic efficiency in jet impingement sprinklers: Comparative analysis of aperture ratios compared with non-impingement sprinklers 提高喷射冲击式洒水器的水力效率:孔径比与非撞击式喷洒器的比较分析
IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING Pub Date : 2024-10-28 DOI: 10.1016/j.biosystemseng.2024.10.004
Zixin Wang , Yue Jiang , Hong Li , Lisha Wang
A jet impingement sprinkler was designed based on asymmetric collision between the primary and secondary jets to replace traditional rotating sprinklers that require additional water distribution devices to provide suitable water distribution at low pressures. The study focuses on the ratio of apertures between primary and secondary nozzles, deriving a theoretical relationship based on jet momentum. The factors contributing to the variation in hydraulic performance between jet-impingement and non-impinging sprinklers are elucidated by combining hydraulic performance experiments with experiments using high-speed photography (HSP). The results show that the developed jet impingement sprinkler achieved a smoother water distribution trend. The wetted radius and Christiansen's uniformity coefficient of the jet impingement sprinkler were evaluated using the Criteria Importance via the Intercriteria Correlation (CRITIC) method. A comparison of the average scores shows that an aperture ratio of 1.66 performs best under full pressure. By contrast, an aperture ratio of 1.33 exhibited superior performance at low pressure. Jet deflection angle and jet breakup length were obtained through HSP experiments. The relative error between the measured and theoretical jet deflection angles was less than 5%, demonstrating the reliability of the proposed theoretical calculation method. A non-linear curve was used to establish the relationship among the aperture ratio, diameter of the primary nozzle exit, jet breakup length, average measured jet deflection angle, working pressure, and wetted radius. The relative error between the calculated and measured values was within 4%, indicating the suitability of the new formula for calculating the wetted radius of jet impingement sprinklers.
设计了一种基于主喷嘴和副喷嘴之间不对称碰撞的喷射撞击喷头,以取代传统的旋转喷头,后者需要额外的配水装置才能在低压下提供合适的配水。研究重点是主喷嘴和副喷嘴之间的孔径比,并根据喷射动量推导出理论关系。通过将水力性能实验与高速摄影(HSP)实验相结合,阐明了造成喷射撞击喷头与非撞击喷头之间水力性能差异的因素。结果表明,开发的喷射撞击式喷灌机实现了更平滑的水流分布趋势。采用标准重要性与标准间相关性(CRITIC)方法对喷射撞击式喷灌机的润湿半径和克里斯琴森均匀系数进行了评估。对平均得分的比较表明,在全压条件下,孔径比为 1.66 的喷头性能最佳。相比之下,1.33 的孔径比在低压下表现更佳。喷射偏转角和喷射破裂长度是通过 HSP 实验获得的。测量和理论射流偏转角之间的相对误差小于 5%,证明了所提出的理论计算方法的可靠性。利用非线性曲线确定了孔径比、主喷嘴出口直径、射流破裂长度、平均测量射流偏转角、工作压力和润湿半径之间的关系。计算值和测量值之间的相对误差在 4% 以内,表明新公式适用于计算喷射撞击式喷头的润湿半径。
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引用次数: 0
Verifying the reliability of CFD domain decomposition technique on modelling the airflow field inside a naturally ventilated cattle barn 验证 CFD 域分解技术对自然通风牛舍内气流场建模的可靠性
IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING Pub Date : 2024-10-24 DOI: 10.1016/j.biosystemseng.2024.10.001
Guoxing Chen, Guoqiang Zhang, Li Rong
Conventionally, the airflow fields outside and inside the naturally ventilated livestock buildings are modelled simultaneously in one computational domain using CFD (Computational Fluid Dynamics). The presence of surrounding buildings, indoor facilities and animals for large scale cattle barns make the required computational power extremely high and even unfordable to achieve simulation results with reasonable accuracy. The Domain Decomposition Technique (DDT), dividing simulations into two separate steps, is an alternative CFD framework to provide sufficient accuracy with affordable computations at each step. The objective of this study was to verify the reliability of DDT on modelling the airflow fields inside a naturally ventilated cattle barn (NVCB) by employing wind tunnel measurements. The exterior airflow fields around the targeted NVCB, which was opened with varying opening ratios, were first simulated to obtain the airflow boundary conditions at sidewall openings by applying exterior wind conditions at the inlet of the computational domain. The interior airflow of the targeted NVCB, were secondly simulated by applying the achieved airflow boundary conditions at sidewall openings from the first step simulation. The interior airflow fields obtained by DDT were in good agreement with wind tunnel measurements. This indicates that DDT can provide an alternative for CFD application in large-scale NVCB with presence of surrounding buildings, indoor facilities and animals, though these had not been considered in this study.
传统上,自然通风牲畜建筑内外的气流场是在一个计算域中使用 CFD(计算流体动力学)同时建模的。由于大型牛舍周围建筑物、室内设施和动物的存在,所需的计算能力极高,甚至无法获得具有合理精度的模拟结果。域分解技术(DDT)将模拟分为两个独立的步骤,是一种可供选择的 CFD 框架,可在每个步骤中以可承受的计算量提供足够的精度。本研究的目的是通过风洞测量,验证 DDT 对自然通风牛舍(NVCB)内部气流场建模的可靠性。首先模拟了以不同开口率打开的目标牛舍周围的外部气流场,通过在计算域入口处应用外部风力条件,获得了侧壁开口处的气流边界条件。然后,应用第一步模拟中获得的侧壁开口处气流边界条件,模拟目标 NVCB 的内部气流。DDT 得出的内部气流场与风洞测量结果非常吻合。这表明 DDT 可作为 CFD 应用于周围有建筑物、室内设施和动物(本研究未考虑这些因素)的大型非易燃易爆场所的替代方法。
{"title":"Verifying the reliability of CFD domain decomposition technique on modelling the airflow field inside a naturally ventilated cattle barn","authors":"Guoxing Chen,&nbsp;Guoqiang Zhang,&nbsp;Li Rong","doi":"10.1016/j.biosystemseng.2024.10.001","DOIUrl":"10.1016/j.biosystemseng.2024.10.001","url":null,"abstract":"<div><div>Conventionally, the airflow fields outside and inside the naturally ventilated livestock buildings are modelled simultaneously in one computational domain using CFD (Computational Fluid Dynamics). The presence of surrounding buildings, indoor facilities and animals for large scale cattle barns make the required computational power extremely high and even unfordable to achieve simulation results with reasonable accuracy. The Domain Decomposition Technique (DDT), dividing simulations into two separate steps, is an alternative CFD framework to provide sufficient accuracy with affordable computations at each step. The objective of this study was to verify the reliability of DDT on modelling the airflow fields inside a naturally ventilated cattle barn (NVCB) by employing wind tunnel measurements. The exterior airflow fields around the targeted NVCB, which was opened with varying opening ratios, were first simulated to obtain the airflow boundary conditions at sidewall openings by applying exterior wind conditions at the inlet of the computational domain. The interior airflow of the targeted NVCB, were secondly simulated by applying the achieved airflow boundary conditions at sidewall openings from the first step simulation. The interior airflow fields obtained by DDT were in good agreement with wind tunnel measurements. This indicates that DDT can provide an alternative for CFD application in large-scale NVCB with presence of surrounding buildings, indoor facilities and animals, though these had not been considered in this study.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"248 ","pages":"Pages 156-161"},"PeriodicalIF":4.4,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An effective unsupervised domain adaptation for in-field potato disease recognition 用于田间马铃薯病害识别的有效无监督领域适应技术
IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING Pub Date : 2024-10-23 DOI: 10.1016/j.biosystemseng.2024.10.005
Xueze Gao , Quan Feng , Shuzhi Wang , Jianhua Zhang , Sen Yang
Accurate disease recognition through computer vision is crucial for the intelligent management of potato production. Popular data-driven classification methods face challenges including limited labelled data and poor model portability. Unsupervised Domain Adaptation (UDA) addresses these challenges with a novel learning strategy. However, the complex field environment introduces a significant domain shift problem due to varying conditions. Existing UDA methods usually concentrate on aligning global data distribution and employ a single structure for disease feature extraction, thereby limiting their efficacy in true field environment. To tackle this challenge of potato disease recognition, the Multi-Representation Adaptive Network (MRSAN) based on subdomain alignment is presented. MRSAN effectively aligns feature distributions across diverse data by minimising distribution differences among relevant subdomains. Simultaneously, the multi-representation extraction method captures finer details from various perspectives in the disease images. The combination of these two approaches efficiently mitigates the adverse effects caused by various interference factors in field environment. Based on the acquisition conditions of light variation and disease progression, two field potato disease image datasets are created, containing five and six kinds of potato leaf disease, respectively. Extensive transfer experiments are conducted on the two datasets. MRSAN achieves average classification accuracies of 87.03% and 80.06% on the datasets for the corresponding transfer tasks, outperforming the other compared methods. This not only validates the effectiveness of MRSAN but also demonstrates its robust ability to generalise across changes in regard to light variation and disease progression.
通过计算机视觉准确识别病害对于马铃薯生产的智能化管理至关重要。流行的数据驱动分类方法面临着标签数据有限和模型可移植性差等挑战。无监督领域适应(UDA)通过一种新颖的学习策略解决了这些难题。然而,由于条件不同,复杂的田间环境带来了严重的领域转移问题。现有的无监督领域适应方法通常集中于调整全局数据分布,并采用单一结构进行病害特征提取,因此限制了其在真实田间环境中的功效。为了应对马铃薯病害识别的这一挑战,提出了基于子域对齐的多呈现自适应网络(MRSAN)。MRSAN 通过最大限度地减少相关子域之间的分布差异,有效地调整了不同数据的特征分布。同时,多重呈现提取方法还能从疾病图像的不同角度捕捉更精细的细节。这两种方法的结合可有效缓解现场环境中各种干扰因素造成的不利影响。根据光照变化和病害发展的采集条件,创建了两个田间马铃薯病害图像数据集,分别包含五种和六种马铃薯叶片病害。在这两个数据集上进行了广泛的转移实验。在相应的转移任务中,MRSAN 在数据集上取得了 87.03% 和 80.06% 的平均分类准确率,优于其他比较方法。这不仅验证了 MRSAN 的有效性,还证明了它在不同光照变化和疾病进展情况下的强大泛化能力。
{"title":"An effective unsupervised domain adaptation for in-field potato disease recognition","authors":"Xueze Gao ,&nbsp;Quan Feng ,&nbsp;Shuzhi Wang ,&nbsp;Jianhua Zhang ,&nbsp;Sen Yang","doi":"10.1016/j.biosystemseng.2024.10.005","DOIUrl":"10.1016/j.biosystemseng.2024.10.005","url":null,"abstract":"<div><div>Accurate disease recognition through computer vision is crucial for the intelligent management of potato production. Popular data-driven classification methods face challenges including limited labelled data and poor model portability. Unsupervised Domain Adaptation (UDA) addresses these challenges with a novel learning strategy. However, the complex field environment introduces a significant domain shift problem due to varying conditions. Existing UDA methods usually concentrate on aligning global data distribution and employ a single structure for disease feature extraction, thereby limiting their efficacy in true field environment. To tackle this challenge of potato disease recognition, the Multi-Representation Adaptive Network (MRSAN) based on subdomain alignment is presented. MRSAN effectively aligns feature distributions across diverse data by minimising distribution differences among relevant subdomains. Simultaneously, the multi-representation extraction method captures finer details from various perspectives in the disease images. The combination of these two approaches efficiently mitigates the adverse effects caused by various interference factors in field environment. Based on the acquisition conditions of light variation and disease progression, two field potato disease image datasets are created, containing five and six kinds of potato leaf disease, respectively. Extensive transfer experiments are conducted on the two datasets. MRSAN achieves average classification accuracies of 87.03% and 80.06% on the datasets for the corresponding transfer tasks, outperforming the other compared methods. This not only validates the effectiveness of MRSAN but also demonstrates its robust ability to generalise across changes in regard to light variation and disease progression.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"247 ","pages":"Pages 267-282"},"PeriodicalIF":4.4,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Injury mechanisms in high-speed transplanting of over aged rice seedlings 超龄水稻秧苗高速插秧的损伤机制
IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING Pub Date : 2024-10-21 DOI: 10.1016/j.biosystemseng.2024.10.006
Tingjue Wang, Menghao Shi, Dongdong Xi, Dongdong Sun, Fuming Kuang, Wei Xiong, Shun Zhang, Dequan Zhu
The mechanical transplanting of over aged seedlings (OAS) of rice poses several challenges, including seedling mortality and a significant delay in the greening period, which severely restrict yield. The causes of these issues remain unknown. Through theoretical analysis, mechanical tests, bench tests, and growth experiments were conducted to explore the reasons for seedling mortality and the significant delay in the greening period from the perspectives of seedlings, transplanting machines, and post-transplant growth. The results indicated that OAS transplanting causes combined root and stem injuries. For 40-day-old seedlings, the energy required for stem elasto-plastic deformation ranged from 1.37 to 7.19 N mm. Within this deformation range, the stem sustains internal injury but is not considered as injured seedling. The main factors influencing stem injury were the stem's major axis length and elastic modulus, whereas root injury was primarily affected by root diameter. Root and stem injuries significantly inhibited seedling growth, as demonstrated by significant structural changes in the stem 3 days post-transplantation, along with partial seedling mortality. New roots emerged only 9 days post-transplantation, and the heart leaf growth rate and SPAD value at 12 days were only 49% and 77% those of uninjured transplanted seedlings, respectively. Based on these findings, it was concluded that the seedling mortality and significant delay in the greening period observed in OAS transplantation are due to inhibited nutrient absorption and transport, caused by stem elasto-plastic deformation and weakened root vitality. These results may serve as a basis for improving transplanting machine design and optimising rice cultivation practices.
水稻机械移栽过老秧苗(OAS)会带来一些挑战,包括秧苗死亡和返青期明显延迟,严重限制了产量。造成这些问题的原因尚不清楚。通过理论分析、机械试验、台架试验和生长实验,从秧苗、插秧机和插秧后生长的角度探讨了秧苗死亡和返青期显著延迟的原因。结果表明,OAS 移栽会造成根部和茎部的双重伤害。对于 40 天的秧苗,茎杆弹塑性变形所需的能量范围为 1.37 至 7.19 N mm。在此变形范围内,茎会受到内伤,但不被视为受伤秧苗。影响茎损伤的主要因素是茎的主轴长度和弹性模量,而根损伤主要受根直径的影响。根和茎的损伤明显抑制了幼苗的生长,移植后 3 天,茎的结构发生了显著变化,部分幼苗死亡。移植后 9 天,新根才萌发,12 天时的心叶生长率和 SPAD 值分别只有未受伤移植秧苗的 49% 和 77%。根据这些发现,可以得出结论:OAS 移植过程中出现的幼苗死亡和返青期显著延迟现象,是由于茎干弹性变形和根系活力减弱导致营养吸收和运输受抑制所致。这些结果可作为改进插秧机设计和优化水稻栽培方法的依据。
{"title":"Injury mechanisms in high-speed transplanting of over aged rice seedlings","authors":"Tingjue Wang,&nbsp;Menghao Shi,&nbsp;Dongdong Xi,&nbsp;Dongdong Sun,&nbsp;Fuming Kuang,&nbsp;Wei Xiong,&nbsp;Shun Zhang,&nbsp;Dequan Zhu","doi":"10.1016/j.biosystemseng.2024.10.006","DOIUrl":"10.1016/j.biosystemseng.2024.10.006","url":null,"abstract":"<div><div>The mechanical transplanting of over aged seedlings (OAS) of rice poses several challenges, including seedling mortality and a significant delay in the greening period, which severely restrict yield. The causes of these issues remain unknown. Through theoretical analysis, mechanical tests, bench tests, and growth experiments were conducted to explore the reasons for seedling mortality and the significant delay in the greening period from the perspectives of seedlings, transplanting machines, and post-transplant growth. The results indicated that OAS transplanting causes combined root and stem injuries. For 40-day-old seedlings, the energy required for stem elasto-plastic deformation ranged from 1.37 to 7.19 N mm. Within this deformation range, the stem sustains internal injury but is not considered as injured seedling. The main factors influencing stem injury were the stem's major axis length and elastic modulus, whereas root injury was primarily affected by root diameter. Root and stem injuries significantly inhibited seedling growth, as demonstrated by significant structural changes in the stem 3 days post-transplantation, along with partial seedling mortality. New roots emerged only 9 days post-transplantation, and the heart leaf growth rate and SPAD value at 12 days were only 49% and 77% those of uninjured transplanted seedlings, respectively. Based on these findings, it was concluded that the seedling mortality and significant delay in the greening period observed in OAS transplantation are due to inhibited nutrient absorption and transport, caused by stem elasto-plastic deformation and weakened root vitality. These results may serve as a basis for improving transplanting machine design and optimising rice cultivation practices.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"248 ","pages":"Pages 142-155"},"PeriodicalIF":4.4,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Investigation of rice debranning mechanism based on tribological behaviour between rice grains 基于米粒间摩擦学行为的水稻脱粒机理研究
IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING Pub Date : 2024-10-19 DOI: 10.1016/j.biosystemseng.2024.10.007
Jiaming Fei , Ze Sun , Dan Zhao , Anqi Li , Fuguo Jia , Yanlong Han , Hao Li , Shouyu Ji , Zhuozhuang Li , Wenyu Feng
Frictional debranning between rice grains is a fragile and energy-consuming process. Understanding the mechanism of this frictional debranning is the key to achieving moderate debranning, yet the mechanisms involved remain poorly understood. In this work, the mechanism of rice grain debranning was investigated through rice milling experiments, SEM analysis of the rice surface, and rice wear experiments. The results showed that the bran layer of rice grains exhibited different removal patterns at different milling pressures. During frictional debranning between rice grains, adhesive wear and bulk stripping of the bran layer occurred. The bran layer of the rice grain initially experiences primary damage due to adhesive wear, followed by bulk stripping at the edges of the existing damage. Pre-milling can effectively improve the debranning efficiency of rice grains. These findings should provide a theoretical reference for the design of grain milling equipment and the process improvement of grain moderate milling.
米粒之间的摩擦脱粒是一个脆弱且耗能的过程。了解这种摩擦脱粒的机理是实现适度脱粒的关键,但人们对其中的机理仍然知之甚少。在这项工作中,通过碾米实验、大米表面的 SEM 分析和大米磨损实验研究了米粒脱粒的机理。结果表明,在不同的碾米压力下,米粒糠层表现出不同的脱粒模式。在米粒间的摩擦脱粒过程中,米糠层发生了粘着磨损和松散剥离。米粒的糠层最初因粘着磨损而出现初级损伤,随后在现有损伤的边缘出现大量剥离。预碾磨能有效提高米粒的脱粒效率。这些研究结果可为谷物碾磨设备的设计和谷物适度碾磨工艺的改进提供理论参考。
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引用次数: 0
Effect of slurry separation and air-plasma treatment on NH3 and VOC emissions from field applied biogas digestate and pig slurry to grassland 泥浆分离和空气等离子处理对草地沼气沼渣和猪泥浆中 NH3 和 VOC 排放的影响
IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING Pub Date : 2024-10-17 DOI: 10.1016/j.biosystemseng.2024.09.014
Johanna Pedersen , Rodrigo Labouriau , Anders Feilberg
Different technologies can be utilised to mitigate environmentally harmful ammonia (NH3) emissions after field application of liquid animal manure (slurry). After a solid-liquid separation, air-plasma technology can acidify the liquid fraction and enrich its nutrient value by increasing the amount of inorganic nitrogen. The present work investigates the emissions of NH3 and volatile organic compounds (VOC) after field application of the following fractions of pig slurry and slurry digestate: i) untreated slurry (UN), ii) liquid fraction of slurry (LF), iii) liquid fraction of slurry treated with air from the plasma treatment (LP). Emissions were measured with a system of wind tunnels and a cavity ring-down spectrometer for NH3 concentration measurements and a proton-transfer-reaction mass-spectrometer for measurements of VOC. For both slurry types, the cumulative NH3 emissions were in the following order UN > LF > LP. All the differences were significant (P < 0.05), except between pig slurry LF and LP. The reduction in cumulative NH3 emission obtained by the treatments compared to UN were 55–74% and 70–89% for LF and LP, respectively. The slurry separation decreased dry matter by 46–54% and resulted in a rapid decrease in slurry exposed surface area after application, presumably due to high infiltration. Several VOCs were measured after application of the slurry, but continuous emission was undetectable for all VOCs. The very low VOC emission was presumably due to high infiltration of the low dry matter slurry treatments and low concentration of VOC in the digestate.
Science4Impact Statement
This work demonstrates how treating slurry with plasma treated air can mitigate ammonia emissions after field application. The presented findings can be used for additional technology development and verification. Future research efforts should e.g. clarify what level of solid-liquid separation is needed before treating the liquid fraction with plasma treated air, to assess whether the additional ammonia reductions are profitable. Furthermore, the findings can be used by decision makers and advisory bodies to assess the compliancy of this slurry application technology with applicable environmental regulations. The work also highlights important remaining knowledge gaps that need to be investigated before the technology can be deemed fit for wider practical application.
在田间施用液态动物粪便(泥浆)后,可以利用不同的技术来减少对环境有害的氨(NH3)排放。在固液分离之后,空气等离子体技术可以酸化液体部分,并通过增加无机氮的含量来丰富其营养价值。本研究调查了猪粪浆和粪浆沼渣在实地应用后的 NH3 和挥发性有机化合物 (VOC) 排放情况:i) 未经处理的粪浆(UN);ii) 粪浆液态部分(LF);iii) 经空气等离子处理后的粪浆液态部分(LP)。使用风洞系统和空腔环降光谱仪测量 NH3 浓度,使用质子转移反应质谱仪测量挥发性有机化合物。对于两种泥浆类型,NH3 的累积排放量依次为 UN > LF > LP。除了猪泥浆 LF 和 LP 之间的差异外,其他所有差异都很明显(P < 0.05)。与 UN 相比,LF 和 LP 的累积 NH3 排放量分别减少了 55%-74% 和 70%-89%。泥浆分离使干物质减少了 46-54%,并导致施用后泥浆暴露表面积迅速减少,这可能是由于高渗透率造成的。施用泥浆后测量了几种挥发性有机化合物,但所有挥发性有机化合物的连续排放都检测不到。挥发性有机化合物排放量极低的原因可能是低干物质泥浆处理的高渗透性和沼渣中挥发性有机化合物的低浓度。所展示的研究结果可用于更多的技术开发和验证。未来的研究工作应明确在用等离子处理空气处理液体部分之前需要进行何种程度的固液分离,以评估额外的氨减排量是否有利可图。此外,决策者和咨询机构可利用研究结果来评估这种泥浆应用技术是否符合适用的环境法规。这项工作还强调了在认为该技术适合更广泛的实际应用之前需要调查的重要知识缺口。
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引用次数: 0
Nutrient flows in biofloc-Nile tilapia culture: A semi-physical modelling approach 生物絮团-尼罗罗非鱼养殖中的养分流:半物理建模方法
IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING Pub Date : 2024-10-16 DOI: 10.1016/j.biosystemseng.2024.09.021
Nurhayati Br Tarigan , Marc Verdegem , Julie Ekasari , Karel J. Keesman
Biofloc culture systems potentially reduce the nutrient losses in aquaculture. However, knowledge of the nutrient flows in the system is not yet well-developed. This study deployed experimental data to develop a semi-physical model to understand the dynamics and flows of carbon (C), nitrogen (N), and phosphorus (P) in a biofloc-Nile tilapia-rearing system. The model involved eight process variables, which are pelleted feed A, C, N, P, fish, biofloc, periphyton, and water volume. Model calibration and validation were done under a Control-diet and High-NSP-diet, respectively. The diets differed by the type of starch in which the latter contains three times higher fibrous starch, called non-starch polysaccharides, than the former. Except for biofloc, the behaviour of the process variables fit the observations with a root mean square error (RMSE) of less than 30% of the corresponding average observations. The biofloc biomass was predicted using exponential growth model and results in a RMSE of 49% and 56% for the Control and High-NSP-diet, respectively. Scenario analyses, using the validated model, showed that the biofloc system generates less waste when the stocking density is doubled, which means double fish production and less nutrient losses. In terms of different diets, the high-NSP-diet resulted in more organic waste than the Control-diet. However, the amount of loss and unutilised C and P were similar which was mainly caused by the ability of biofloc and periphyton to assimilate more waste, especially C, in the High-NSP-diet.
生物絮团养殖系统有可能减少水产养殖中的营养损失。然而,有关该系统中营养物质流动的知识尚不完善。本研究利用实验数据建立了一个半物理模型,以了解生物絮团-尼罗罗非鱼饲养系统中碳(C)、氮(N)和磷(P)的动态和流动。该模型涉及八个过程变量,即颗粒饲料 A、C、N、P、鱼、生物絮团、浮游生物和水量。模型校准和验证分别在控制日粮和高 NSP 日粮条件下进行。两种日粮的淀粉类型不同,后者的纤维淀粉(非淀粉多糖)含量是前者的三倍。除生物絮凝物外,其他过程变量的表现均符合观测结果,均方根误差(RMSE)小于相应平均观测值的 30%。生物絮团的生物量是通过指数增长模型预测的,结果是对照组和高-NSP-饮食组的均方根误差分别为 49% 和 56%。利用验证模型进行的情景分析表明,当放养密度增加一倍时,生物絮团系统产生的废物更少,这意味着鱼产量增加一倍,营养损失更少。就不同日粮而言,高 NSP 日粮比对照日粮产生更多的有机废物。不过,C 和 P 的损失量和未利用量相似,这主要是由于高 NSP 日粮中的生物絮团和浮游生物能够吸收更多废物,尤其是 C。
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Biosystems Engineering
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